{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 数据集基本使用"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1) 导入数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "======\n",
      "Loading NuScenes tables for version v1.0-mini...\n",
      "23 category,\n",
      "8 attribute,\n",
      "4 visibility,\n",
      "911 instance,\n",
      "12 sensor,\n",
      "120 calibrated_sensor,\n",
      "31206 ego_pose,\n",
      "8 log,\n",
      "10 scene,\n",
      "404 sample,\n",
      "31206 sample_data,\n",
      "18538 sample_annotation,\n",
      "4 map,\n",
      "Done loading in 0.392 seconds.\n",
      "======\n",
      "Reverse indexing ...\n",
      "Done reverse indexing in 0.1 seconds.\n",
      "======\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'创建 NuScenes 对象   当 verbose=True 时，在创建对象的过程中可能会输出一些详细的信息'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from nuscenes.nuscenes import NuScenes, NuScenesExplorer\n",
    "from nuscenes.can_bus.can_bus_api import NuScenesCanBus\n",
    "\n",
    "version = \"v1.0-mini\"\n",
    "dataroot = \"/root/autodl-tmp/data/nuScenes\"\n",
    "nusc = NuScenes(version,dataroot,verbose=True)\n",
    "\"创建 NuScenes 对象   当 verbose=True 时，在创建对象的过程中可能会输出一些详细的信息\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2)查看某一场景中的信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'token': 'cc8c0bf57f984915a77078b10eb33198',\n",
       " 'log_token': '7e25a2c8ea1f41c5b0da1e69ecfa71a2',\n",
       " 'nbr_samples': 39,\n",
       " 'first_sample_token': 'ca9a282c9e77460f8360f564131a8af5',\n",
       " 'last_sample_token': 'ed5fc18c31904f96a8f0dbb99ff069c0',\n",
       " 'name': 'scene-0061',\n",
       " 'description': 'Parked truck, construction, intersection, turn left, following a van'}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nusc.scene[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "scene-0061 39\n",
      "scene-0103 40\n",
      "scene-0553 41\n",
      "scene-0655 41\n",
      "scene-0757 41\n",
      "scene-0796 40\n",
      "scene-0916 41\n",
      "scene-1077 41\n",
      "scene-1094 40\n",
      "scene-1100 40\n"
     ]
    }
   ],
   "source": [
    "for sces in nusc.scene:\n",
    "    sce = nusc.get(\"scene\", sces['token'])\n",
    "    print(sce['name'],sce['nbr_samples'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['token', 'log_token', 'nbr_samples', 'first_sample_token', 'last_sample_token', 'name', 'description'])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sce.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3)获取样本sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'a480496a5988410fbe3d8ed6c84da996'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"获取第一个sample的token值\"\n",
    "sce['first_sample_token']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'token': 'a480496a5988410fbe3d8ed6c84da996',\n",
       " 'timestamp': 1542800987947699,\n",
       " 'prev': '',\n",
       " 'next': 'b993550e60054741983f8052ba97b0b0',\n",
       " 'scene_token': 'e233467e827140efa4b42d2b4c435855',\n",
       " 'data': {'RADAR_FRONT': '511dba7f4aec41ea8baa9019ba97413c',\n",
       "  'RADAR_FRONT_LEFT': 'b5a62f9cf0ac444cbd90c2f9ba7fedbf',\n",
       "  'RADAR_FRONT_RIGHT': 'e95132afd0604448b6d522a09bad7e2d',\n",
       "  'RADAR_BACK_LEFT': 'cb1a9aa2b8154fde9442eaa9fe11a958',\n",
       "  'RADAR_BACK_RIGHT': 'f2008e1cb0194ee49a85243ed8261955',\n",
       "  'LIDAR_TOP': 'b723df2123fe473d85512c9d02156c27',\n",
       "  'CAM_FRONT': '51ceae8a5ecc4730950666723c135bc8',\n",
       "  'CAM_FRONT_RIGHT': '4a85ae2a6329487abed596b0b7b6dfa4',\n",
       "  'CAM_BACK_RIGHT': '646b51a45a2b4494a918ff89d36027e2',\n",
       "  'CAM_BACK': 'd340a8d85c874b8d9e9ddf51a82a5908',\n",
       "  'CAM_BACK_LEFT': 'c418396afb5a43a4af9a3b76278fd8d6',\n",
       "  'CAM_FRONT_LEFT': '255a0637ea9a461989d7fb20f4ee126c'},\n",
       " 'anns': ['9ca2a9ab9b5041278eea928681e09d89',\n",
       "  '9dfee0c127f548acb80bf95610437acb',\n",
       "  'b2222d3c49c447ba91247501e97d772b',\n",
       "  '723bee443cf6433a95293aac161590d5',\n",
       "  '29d4a8be2e91426da373d2b3b36302d7',\n",
       "  '53242fa89307473fb78e35492e638856',\n",
       "  '5b5c0d29afd546038a828c5376e7812f',\n",
       "  '1167ef49543546d5a5b8d72893194e50',\n",
       "  'e9a0946245ea43bbba0e3ff4e0459693',\n",
       "  'c8d0d58bc9454ca8992e7eb27febda09',\n",
       "  'cadc01f06d054f6589f96a6b1883e6a6',\n",
       "  '4c82d383f7f54af38612ecac4028698d',\n",
       "  '318911c9e58c410285dabc3e5c13cb8b',\n",
       "  'fedb34281be246299448d0647fb3b2df',\n",
       "  'e23a1c2091954a5e95a58e640c461915',\n",
       "  '1d157033eed84ca98ad7966abc40e165',\n",
       "  'bada2928484242a4b4a55a5e26f727b1',\n",
       "  '17d6e7b2b520493eaff9c559b08d7382',\n",
       "  '4894b54b856841f5bc7957b641ebba6b',\n",
       "  '63b7794e1e044d8c87321ea27ee58dc8',\n",
       "  '0298f73c79f247e9bd04c44282ba60eb',\n",
       "  'ce9fe32b49974f4092157b30d7f2c674',\n",
       "  '31f0dc786d0b4f24b748d9d0ece7378f',\n",
       "  'fb2873a3231945249b1fe1acf0cedf1d']}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"这是这个场景的第一个数据帧\"\n",
    "samp = nusc.get(\"sample\", sce['first_sample_token'])\n",
    "samp\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4)样本数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'RADAR_FRONT': '511dba7f4aec41ea8baa9019ba97413c',\n",
       " 'RADAR_FRONT_LEFT': 'b5a62f9cf0ac444cbd90c2f9ba7fedbf',\n",
       " 'RADAR_FRONT_RIGHT': 'e95132afd0604448b6d522a09bad7e2d',\n",
       " 'RADAR_BACK_LEFT': 'cb1a9aa2b8154fde9442eaa9fe11a958',\n",
       " 'RADAR_BACK_RIGHT': 'f2008e1cb0194ee49a85243ed8261955',\n",
       " 'LIDAR_TOP': 'b723df2123fe473d85512c9d02156c27',\n",
       " 'CAM_FRONT': '51ceae8a5ecc4730950666723c135bc8',\n",
       " 'CAM_FRONT_RIGHT': '4a85ae2a6329487abed596b0b7b6dfa4',\n",
       " 'CAM_BACK_RIGHT': '646b51a45a2b4494a918ff89d36027e2',\n",
       " 'CAM_BACK': 'd340a8d85c874b8d9e9ddf51a82a5908',\n",
       " 'CAM_BACK_LEFT': 'c418396afb5a43a4af9a3b76278fd8d6',\n",
       " 'CAM_FRONT_LEFT': '255a0637ea9a461989d7fb20f4ee126c'}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "samp['data']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['9ca2a9ab9b5041278eea928681e09d89',\n",
       " '9dfee0c127f548acb80bf95610437acb',\n",
       " 'b2222d3c49c447ba91247501e97d772b',\n",
       " '723bee443cf6433a95293aac161590d5',\n",
       " '29d4a8be2e91426da373d2b3b36302d7',\n",
       " '53242fa89307473fb78e35492e638856',\n",
       " '5b5c0d29afd546038a828c5376e7812f',\n",
       " '1167ef49543546d5a5b8d72893194e50',\n",
       " 'e9a0946245ea43bbba0e3ff4e0459693',\n",
       " 'c8d0d58bc9454ca8992e7eb27febda09',\n",
       " 'cadc01f06d054f6589f96a6b1883e6a6',\n",
       " '4c82d383f7f54af38612ecac4028698d',\n",
       " '318911c9e58c410285dabc3e5c13cb8b',\n",
       " 'fedb34281be246299448d0647fb3b2df',\n",
       " 'e23a1c2091954a5e95a58e640c461915',\n",
       " '1d157033eed84ca98ad7966abc40e165',\n",
       " 'bada2928484242a4b4a55a5e26f727b1',\n",
       " '17d6e7b2b520493eaff9c559b08d7382',\n",
       " '4894b54b856841f5bc7957b641ebba6b',\n",
       " '63b7794e1e044d8c87321ea27ee58dc8',\n",
       " '0298f73c79f247e9bd04c44282ba60eb',\n",
       " 'ce9fe32b49974f4092157b30d7f2c674',\n",
       " '31f0dc786d0b4f24b748d9d0ece7378f',\n",
       " 'fb2873a3231945249b1fe1acf0cedf1d']"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "samp['anns']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1、毫米波雷达"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'token': '511dba7f4aec41ea8baa9019ba97413c',\n",
       " 'sample_token': 'a480496a5988410fbe3d8ed6c84da996',\n",
       " 'ego_pose_token': '511dba7f4aec41ea8baa9019ba97413c',\n",
       " 'calibrated_sensor_token': '09090db968494cc4bf39edad6821b0f2',\n",
       " 'timestamp': 1542800987945363,\n",
       " 'fileformat': 'pcd',\n",
       " 'is_key_frame': True,\n",
       " 'height': 0,\n",
       " 'width': 0,\n",
       " 'filename': 'samples/RADAR_FRONT/n015-2018-11-21-19-38-26+0800__RADAR_FRONT__1542800987945363.pcd',\n",
       " 'prev': '',\n",
       " 'next': 'e02405559c7c423d8277975d9a5d251e',\n",
       " 'sensor_modality': 'radar',\n",
       " 'channel': 'RADAR_FRONT'}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"这里选择的传感器为前方的毫米波雷达传感器\"\n",
    "sensor_radar = 'RADAR_FRONT'\n",
    "radar_front_data = nusc.get('sample_data',samp['data'][sensor_radar])\n",
    "radar_front_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nusc.render_sample_data(radar_front_data['token'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2、激光雷达"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'token': 'b723df2123fe473d85512c9d02156c27',\n",
       " 'sample_token': 'a480496a5988410fbe3d8ed6c84da996',\n",
       " 'ego_pose_token': 'b723df2123fe473d85512c9d02156c27',\n",
       " 'calibrated_sensor_token': '2f33eba3ec8d4637aad8010686d364fa',\n",
       " 'timestamp': 1542800987947699,\n",
       " 'fileformat': 'pcd',\n",
       " 'is_key_frame': True,\n",
       " 'height': 0,\n",
       " 'width': 0,\n",
       " 'filename': 'samples/LIDAR_TOP/n015-2018-11-21-19-38-26+0800__LIDAR_TOP__1542800987947699.pcd.bin',\n",
       " 'prev': '',\n",
       " 'next': '59114bac6b5e4af4acf79b724afba447',\n",
       " 'sensor_modality': 'lidar',\n",
       " 'channel': 'LIDAR_TOP'}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lidar_token = samp['data']['LIDAR_TOP']\n",
    "lidar_sample_data = nusc.get('sample_data',lidar_token)\n",
    "lidar_sample_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "lidar_ego_pose = nusc.get(\"ego_pose\",lidar_sample_data['ego_pose_token'])\n",
    "lidar_calibrated_data = nusc.get(\"calibrated_sensor\",lidar_sample_data['calibrated_sensor_token'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'token': 'b723df2123fe473d85512c9d02156c27',\n",
       " 'timestamp': 1542800987947699,\n",
       " 'rotation': [0.28420771619881524,\n",
       "  0.02224766942891785,\n",
       "  0.012069468808417267,\n",
       "  -0.9584285801147198],\n",
       " 'translation': [1321.390767646126, 903.7547711424545, 0.0]}"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lidar_ego_pose"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'token': '2f33eba3ec8d4637aad8010686d364fa',\n",
       " 'sensor_token': 'dc8b396651c05aedbb9cdaae573bb567',\n",
       " 'translation': [0.943713, 0.0, 1.84023],\n",
       " 'rotation': [0.7077955119163518,\n",
       "  -0.006492242056004365,\n",
       "  0.010646214713995808,\n",
       "  -0.7063073142877817],\n",
       " 'camera_intrinsic': []}"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lidar_calibrated_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2.1矩阵表示"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from pyquaternion import Quaternion\n",
    "\"四元数\"\n",
    "\n",
    "def get_matrix(calibrated_data):\n",
    "    \"\"\"这里就是用一个4*4的矩阵,是方便运算的变换矩阵,给的标定数据\"\"\"\n",
    "    output = np.eye(4)\n",
    "    output[:3,:3] = Quaternion(calibrated_data['rotation']).rotation_matrix\n",
    "    output[:3,3] = calibrated_data['translation']\n",
    "    \n",
    "    return output  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-5.46803682e-01, -8.35160705e-01, -5.92649206e-02,\n",
       "         1.32053459e+03],\n",
       "       [ 8.37248777e-01, -5.45044086e-01, -4.40616625e-02,\n",
       "         9.03175311e+02],\n",
       "       [ 4.49657463e-03, -7.37125616e-02,  9.97269391e-01,\n",
       "         1.79115266e+00],\n",
       "       [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
       "         1.00000000e+00]])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ego_to_global = get_matrix(lidar_ego_pose)\n",
    "lidar_to_ego = get_matrix(lidar_calibrated_data)\n",
    "lidar_to_global = ego_to_global @ lidar_to_ego\n",
    "\"4x4 旋转矩阵\"\n",
    "lidar_to_global"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3、图像数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "cams = ['CAM_FRONT_LEFT', 'CAM_FRONT', 'CAM_FRONT_RIGHT', 'CAM_BACK_RIGHT', 'CAM_BACK', 'CAM_BACK_LEFT']\n",
    "intrinsic = np.eye(4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3.1内外参"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "for v,cam in enumerate(cams):\n",
    "    camera_token = samp['data'][cam]\n",
    "    camera_data = nusc.get('sample_data',camera_token)\n",
    "\n",
    "    camera_ego_pose = nusc.get('ego_pose',camera_data['ego_pose_token'])# translation rotation\n",
    "    camera_calibrated_data = nusc.get(\"calibrated_sensor\",camera_data['calibrated_sensor_token'])# translation rotation\n",
    "    intrinsic[:3,:3] = camera_calibrated_data['camera_intrinsic']\n",
    "    \" 相机内参\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-6.19910844e-01,  2.09018448e-02,  7.84393816e-01,\n",
       "         1.32073085e+03],\n",
       "       [-7.83292342e-01,  4.27746525e-02, -6.20180164e-01,\n",
       "         9.02727834e+02],\n",
       "       [-4.65150824e-02, -9.98866078e-01, -1.01442160e-02,\n",
       "         1.53257314e+00],\n",
       "       [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
       "         1.00000000e+00]])"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ego_to_globel = get_matrix(camera_ego_pose)# 这是此时相机拍照时候的，车身运动\n",
    "camera_to_ego = get_matrix(camera_calibrated_data)# 这是相机相对车身的标定\n",
    "camera_to_global = ego_to_globel @ camera_to_ego\n",
    "\"相机外参\"\n",
    "camera_to_global"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3.2图像"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import os\n",
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "result_colo = np.zeros((900 * 2, 1600 * 3, 3), dtype=np.uint8)\n",
    "for v,cam in enumerate(cams):\n",
    "    camera_token = samp['data'][cam]\n",
    "    camera_data = nusc.get('sample_data',camera_token)\n",
    "    camera_file = os.path.join(dataroot,camera_data['filename'])\n",
    "    img = cv2.imread(camera_file)\n",
    "    # 可视化数据\n",
    "    row = v // 3\n",
    "    col = v % 3\n",
    "    # # 将图像放置在大画布的指定位置\n",
    "    result_colo[row * img.shape[0]:(row + 1) * img.shape[0], \n",
    "    col * img.shape[1]:(col + 1) * img.shape[1]] = img\n",
    "\n",
    "cv2.imwrite(\"/root/autodl-tmp/_Pytorch/B_NuScenes_SHOW/img.jpg\",result_colo)\n",
    "# jupytrt中显示图片\n",
    "plt.imshow(result_colo)\n",
    "plt.axis('off')  # 关闭坐标轴显示\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4、标注数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "human.pedestrian.adult\n",
      "vehicle.car\n",
      "human.pedestrian.adult\n",
      "vehicle.motorcycle\n",
      "vehicle.car\n",
      "human.pedestrian.adult\n",
      "human.pedestrian.adult\n",
      "vehicle.bus.rigid\n",
      "vehicle.bus.rigid\n",
      "human.pedestrian.adult\n",
      "human.pedestrian.adult\n",
      "vehicle.car\n",
      "vehicle.car\n",
      "vehicle.car\n",
      "vehicle.car\n",
      "vehicle.car\n",
      "vehicle.motorcycle\n",
      "vehicle.car\n",
      "vehicle.car\n",
      "human.pedestrian.adult\n",
      "vehicle.car\n",
      "human.pedestrian.adult\n",
      "human.pedestrian.adult\n",
      "vehicle.car\n"
     ]
    }
   ],
   "source": [
    "from nuscenes.utils.data_classes import Box \n",
    "for annotation_token in samp['anns']:\n",
    "    annotation = nusc.get(\"sample_annotation\",annotation_token)\n",
    "    \n",
    "    print(annotation['category_name'])\n",
    "    name = annotation['category_name']\n",
    "    \n",
    "    box = Box(annotation['translation'],annotation['size'],Quaternion(annotation['rotation']))\n",
    "    corners = box.corners().T\n",
    "    global_corners = np.concatenate([corners, np.ones((len(corners), 1))],axis=1)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1.31617442e+03,  9.04614710e+02,  1.12100000e+00],\n",
       "       [ 1.31768558e+03,  9.03571982e+02,  1.12100000e+00],\n",
       "       [ 1.31768558e+03,  9.03571982e+02, -3.09000000e-01],\n",
       "       [ 1.31617442e+03,  9.04614710e+02, -3.09000000e-01],\n",
       "       [ 1.31366642e+03,  9.00980018e+02,  1.12100000e+00],\n",
       "       [ 1.31517758e+03,  8.99937290e+02,  1.12100000e+00],\n",
       "       [ 1.31517758e+03,  8.99937290e+02, -3.09000000e-01],\n",
       "       [ 1.31366642e+03,  9.00980018e+02, -3.09000000e-01]])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"这是框的角点，其实我也没有搞清楚，这些点的顺序是怎么形容的-----------八个角点\"\n",
    "corners  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1.31617442e+03,  9.04614710e+02,  1.12100000e+00,\n",
       "         1.00000000e+00],\n",
       "       [ 1.31768558e+03,  9.03571982e+02,  1.12100000e+00,\n",
       "         1.00000000e+00],\n",
       "       [ 1.31768558e+03,  9.03571982e+02, -3.09000000e-01,\n",
       "         1.00000000e+00],\n",
       "       [ 1.31617442e+03,  9.04614710e+02, -3.09000000e-01,\n",
       "         1.00000000e+00],\n",
       "       [ 1.31366642e+03,  9.00980018e+02,  1.12100000e+00,\n",
       "         1.00000000e+00],\n",
       "       [ 1.31517758e+03,  8.99937290e+02,  1.12100000e+00,\n",
       "         1.00000000e+00],\n",
       "       [ 1.31517758e+03,  8.99937290e+02, -3.09000000e-01,\n",
       "         1.00000000e+00],\n",
       "       [ 1.31366642e+03,  9.00980018e+02, -3.09000000e-01,\n",
       "         1.00000000e+00]])"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "global_corners"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "mmdet3d",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
